\begin{tabular}{lccccccc}
\hline\hline
&{$\sigma^{\text{team}}$}&{SE}&{$\sigma^{\text{sub}}$}&{SE}&{$\beta_0$ ($q$)}&{SE}&{$N$}\\\hline
{Wikipedias Participation Challenge}&0.7372&0.0340&0.2990&0.0010&-2.5714&0.2513&54.0000\\
{Allstate Claim Prediction Challenge}&0.9881&0.0413&0.0424&0.0079&-0.7119&0.2063&77.0000\\
{dunnhumbys Shopper Challenge}&0.9760&0.0821&0.0997&0.0070&-1.6698&0.2639&107.0000\\
{Give Me Some Credit}&0.9338&0.0757&0.1820&0.0023&-4.9669&0.2199&90.0000\\
{Dont Get Kicked!}&0.8174&0.0308&0.1944&0.0036&-2.9767&0.1894&96.0000\\
{CHALEARN Gesture Challenge}&0.7624&0.0349&0.0886&0.0063&-0.7583&0.2883&59.0000\\
{What Do You Know?}&0.8281&0.0378&0.1649&0.0026&-3.2192&0.2795&108.0000\\
{Photo Quality Prediction}&0.9808&0.0641&0.0781&0.0288&-2.2559&0.2445&138.0000\\
{The Hewlett Foundation: Automated Essay Scoring}&0.5469&0.0432&0.1763&0.0001&-2.6569&0.2443&96.0000\\
{KDD Cup 2012, Track 2}&0.9163&0.0317&0.3689&0.0021&-2.8153&0.2414&48.0000\\
{Predicting a Biological Response}&0.7063&0.0254&0.2117&0.0049&-4.5030&0.2054&86.0000\\
{Online Product Sales}&0.8425&0.0533&0.1153&0.0019&-3.4666&0.2399&136.0000\\
{Belkin Energy Disaggregation Competition}&1.1112&0.0516&0.0001&1.2204&-1.5078&0.1687&114.0000\\
{Merck Molecular Activity Challenge}&1.1375&0.0316&0.0725&0.0086&-2.1444&0.2094&111.0000\\
{Predict Closed Questions on Stack Overflow}&0.6024&0.0207&0.2244&0.0034&-3.1526&0.2536&73.0000\\
{Job Salary Prediction}&0.5186&0.0316&0.2160&0.0004&-4.2832&0.2913&84.0000\\
{The Marinexplore and Cornell University Whale Detection Challenge}&0.6046&0.0188&0.1457&0.0021&-2.8478&0.2377&115.0000\\
{KDD Cup 2013 - Author-Paper Identification Challenge (Track 1)}&0.7600&0.0233&0.2404&0.0031&-3.3397&0.1989&79.0000\\
{KDD Cup 2013 - Author Disambiguation Challenge (Track 2)}&0.9399&0.0523&0.3025&0.0057&-2.4060&0.1752&57.0000\\
{Packing Santas Sleigh}&0.7832&0.1022&0.0012&0.1024&-2.7145&0.2091&124.0000\\
{Higgs Boson Machine Learning Challenge}&0.5912&0.0267&0.1865&0.0041&-4.4360&0.1970&93.0000\\
{Liberty Mutual Group - Fire Peril Loss Cost}&0.6569&0.0078&0.0832&0.0011&-3.4253&0.2057&165.0000\\
{Helping Santas Helpers}&0.4613&0.0383&0.0127&0.0042&-1.4426&0.1547&82.0000\\
{March Machine Learning Mania 2015}&0.7870&0.0197&0.3382&0.0018&-3.2821&0.3727&54.0000\\
{Otto Group Product Classification Challenge}&0.4291&0.0422&0.0580&0.0025&-5.3629&0.1854&186.0000\\
{ICDM 2015: Drawbridge Cross-Device Connections}&0.7009&0.0329&0.0026&0.0117&-1.2911&0.2068&113.0000\\
{Caterpillar Tube Pricing}&0.4549&0.0323&0.1307&0.0014&-4.9156&0.1811&126.0000\\
{Liberty Mutual Group: Property Inspection Prediction}&0.4527&0.0367&0.0931&0.0011&-4.6258&0.1701&154.0000\\
{Springleaf Marketing Response}&0.4481&0.0290&0.1266&0.0001&-4.4269&0.1761&129.0000\\
{Truly Native?}&0.5014&0.0186&0.0824&0.0028&-3.1990&0.2677&157.0000\\
{The Allen AI Science Challenge}&0.6239&0.0098&0.2061&0.0091&-1.3670&0.4264&94.0000\\
{Santas Stolen Sleigh}&0.5105&0.0104&0.0608&0.0041&-2.6891&0.1333&92.0000\\
{Second Annual Data Science Bowl}&0.6444&0.0201&0.2063&0.0078&-3.5449&0.4561&88.0000\\
{BNP Paribas Cardif Claims Management}&0.9404&0.0853&0.1681&0.0008&-5.6184&0.1826&97.0000\\
{Home Depot Product Search Relevance}&0.6244&0.0080&0.1326&0.0020&-4.1634&0.1618&128.0000\\
{Santander Customer Satisfaction}&0.6742&0.0315&0.1935&0.0049&-4.9469&0.1476&85.0000\\
{Expedia Hotel Recommendations}&0.7309&0.0250&0.0704&0.0038&-3.9245&0.1934&178.0000\\
{Ultrasound Nerve Segmentation}&0.7001&0.0178&0.1959&0.0032&-3.6111&0.2230&93.0000\\
{Draper Satellite Image Chronology}&1.0776&0.0028&0.2040&0.0028&-2.3338&0.3217&88.0000\\
{Predicting Red Hat Business Value}&0.7244&0.0347&0.0816&0.0026&-4.0519&0.1522&167.0000\\
{TalkingData Mobile User Demographics}&0.5304&0.0398&0.1297&0.0029&-4.4402&0.1562&127.0000\\
{Outbrain Click Prediction}&0.8250&0.0323&0.1861&0.0014&-2.7646&0.1993&99.0000\\
{The Nature Conservancy Fisheries Monitoring}&0.4331&0.0234&0.2576&0.0004&-4.1177&0.3615&69.0000\\
{Dstl Satellite Imagery Feature Detection}&0.7837&0.3830&0.0030&0.2987&-0.4366&0.1655&109.0000\\
{Intel \& MobileODT Cervical Cancer Screening}&0.3207&0.0111&0.2771&0.0001&-5.1303&0.7199&53.0000\\
{Cdiscounts Image Classification Challenge}&1.1205&0.0302&0.1663&0.0100&-2.1434&0.1914&101.0000\\
{Recruit Restaurant Visitor Forecasting}&0.5957&0.0104&0.1939&0.0036&-5.6364&0.1947&84.0000\\
{Statoil/C-CORE Iceberg Classifier Challenge}&0.7204&0.0320&0.1438&0.0007&-5.3231&0.1809&114.0000\\
{TrackML Particle Tracking Challenge}&0.6868&0.0182&0.0191&0.0171&-2.2821&0.1852&142.0000\\
{Santa Gift Matching Challenge}&0.5233&0.0211&0.2443&0.0012&-3.8311&0.2483&77.0000\\
{Google Cloud \& NCAA ML Competition 2018-Mens}&0.6232&0.0235&0.3723&0.0097&-3.8825&0.3944&45.0000\\
{Google Cloud \& NCAA ML Competition 2018-Womens}&0.9736&0.0440&0.3123&0.0060&-4.5706&0.7181&52.0000\\
{Google AI Open Images - Object Detection Track}&0.7578&0.0355&0.1633&0.0049&-1.5454&0.2206&77.0000\\
{Google AI Open Images - Visual Relationship Track}&1.3398&0.0805&0.1764&0.0018&-0.2932&0.3390&107.0000\\
{Airbus Ship Detection Challenge}&0.4881&0.0484&0.0840&0.0011&-3.6866&0.2069&162.0000\\
{Peking University/Baidu - Autonomous Driving}&0.7695&0.0042&0.2370&0.0158&-2.3647&0.2467&77.0000\\
{TGS Salt Identification Challenge}&0.3730&0.0013&0.1176&0.0024&-4.6314&0.1716&137.0000\\
{Quick, Draw! Doodle Recognition Challenge}&0.5509&0.0041&0.1592&0.0003&-4.2359&0.1963&116.0000\\
{RSNA Pneumonia Detection Challenge}&0.7321&0.0258&0.2913&0.0045&-0.7809&0.4059&66.0000\\
{Human Protein Atlas Image Classification}&0.9893&0.0378&0.2128&0.0034&-3.4999&0.1610&91.0000\\
{Traveling Santa 2018 - Prime Paths}&0.6300&0.0178&0.2540&0.0042&-3.6389&0.1453&72.0000\\
{Google Cloud \& NCAA ML Competition 2019-Mens}&0.8570&0.0375&0.3449&0.0062&-4.1496&0.3301&49.0000\\
{Instant Gratification}&0.4420&0.0064&0.1786&0.0027&-5.3475&0.1730&105.0000\\
{Predicting Molecular Properties}&0.5432&0.0024&0.2743&0.0022&-4.7078&0.1700&68.0000\\
{SIIM-ACR Pneumothorax Segmentation}&0.7157&0.0215&0.2234&0.0051&-3.8427&0.3802&83.0000\\
{APTOS 2019 Blindness Detection}&0.2581&0.0129&0.1735&0.0021&-5.7479&0.2105&87.0000\\
{Lyft 3D Object Detection for Autonomous Vehicles}&0.6575&0.0255&0.1940&0.0195&-1.0558&0.2075&67.0000\\
{Santas Workshop Tour 2019}&0.3915&0.0285&0.2427&0.0001&-5.2369&0.2673&68.0000\\\hline\hline
\end{tabular}
